Link State Aware Dynamic Routing and Spectrum Allocation Strategy in Elastic Optical Networks

Compared with traditional wavelength division optical network, elastic optical network (EON) divides the network spectrum into smaller spectrum slots to improve the spectrum utilization, but the high-quality spectrum division also complicates the routing and spectrum allocation (RSA) problem. Variou...

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Main Authors: Yang Zhou, Qiang Sun, Siyu Lin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9020112/
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spelling doaj-32763173766d4406a95a492c6e2086152021-03-30T03:10:14ZengIEEEIEEE Access2169-35362020-01-018450714508310.1109/ACCESS.2020.29776129020112Link State Aware Dynamic Routing and Spectrum Allocation Strategy in Elastic Optical NetworksYang Zhou0Qiang Sun1Siyu Lin2https://orcid.org/0000-0002-0492-2091School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, ChinaCompared with traditional wavelength division optical network, elastic optical network (EON) divides the network spectrum into smaller spectrum slots to improve the spectrum utilization, but the high-quality spectrum division also complicates the routing and spectrum allocation (RSA) problem. Various strategies are proposed for reducing the RSA complexity and improving system traffic bearing capacity. However, previous RSA strategies do not consider the changing physical layer impairments that will also impact signal quality and even lead to violation of quality of transmission (QoT), the data cannot be transmitted correctly if the link state is degraded. Therefore, cross-layer optimization is desired, which means that different layer information is taken into account in the RSA strategy. In this paper, we propose a new link state-aware (LSA) RSA strategy to guarantee the QoT requirements under different link states. At first, the link state is evaluated based on chromatic dispersion (CD) and optical signal-to-noise ratio (OSNR), and a LightGBM model is exploited for CD and OSNR estimation. In LSA-RSA strategy, the link state is considered as a metric for qualified routing paths finding, and the link capacity is calculated based on the link state and used in spectrum allocation. Simulation results show that the average CD and OSNR estimation errors of the LightGBM model are 0.28ps/nm and 0.68dB, respectively. Under different link states and traffic loads, the LSA-RSA strategy can reduce traffic failure probability by more than 20%, and traffic load can increase 40Erlang when the bandwidth blocking probability equals 10%.https://ieeexplore.ieee.org/document/9020112/Cross-layer optimizationelastic optical networkmachine learningoptical performance monitoringrouting and spectrum allocation
collection DOAJ
language English
format Article
sources DOAJ
author Yang Zhou
Qiang Sun
Siyu Lin
spellingShingle Yang Zhou
Qiang Sun
Siyu Lin
Link State Aware Dynamic Routing and Spectrum Allocation Strategy in Elastic Optical Networks
IEEE Access
Cross-layer optimization
elastic optical network
machine learning
optical performance monitoring
routing and spectrum allocation
author_facet Yang Zhou
Qiang Sun
Siyu Lin
author_sort Yang Zhou
title Link State Aware Dynamic Routing and Spectrum Allocation Strategy in Elastic Optical Networks
title_short Link State Aware Dynamic Routing and Spectrum Allocation Strategy in Elastic Optical Networks
title_full Link State Aware Dynamic Routing and Spectrum Allocation Strategy in Elastic Optical Networks
title_fullStr Link State Aware Dynamic Routing and Spectrum Allocation Strategy in Elastic Optical Networks
title_full_unstemmed Link State Aware Dynamic Routing and Spectrum Allocation Strategy in Elastic Optical Networks
title_sort link state aware dynamic routing and spectrum allocation strategy in elastic optical networks
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description Compared with traditional wavelength division optical network, elastic optical network (EON) divides the network spectrum into smaller spectrum slots to improve the spectrum utilization, but the high-quality spectrum division also complicates the routing and spectrum allocation (RSA) problem. Various strategies are proposed for reducing the RSA complexity and improving system traffic bearing capacity. However, previous RSA strategies do not consider the changing physical layer impairments that will also impact signal quality and even lead to violation of quality of transmission (QoT), the data cannot be transmitted correctly if the link state is degraded. Therefore, cross-layer optimization is desired, which means that different layer information is taken into account in the RSA strategy. In this paper, we propose a new link state-aware (LSA) RSA strategy to guarantee the QoT requirements under different link states. At first, the link state is evaluated based on chromatic dispersion (CD) and optical signal-to-noise ratio (OSNR), and a LightGBM model is exploited for CD and OSNR estimation. In LSA-RSA strategy, the link state is considered as a metric for qualified routing paths finding, and the link capacity is calculated based on the link state and used in spectrum allocation. Simulation results show that the average CD and OSNR estimation errors of the LightGBM model are 0.28ps/nm and 0.68dB, respectively. Under different link states and traffic loads, the LSA-RSA strategy can reduce traffic failure probability by more than 20%, and traffic load can increase 40Erlang when the bandwidth blocking probability equals 10%.
topic Cross-layer optimization
elastic optical network
machine learning
optical performance monitoring
routing and spectrum allocation
url https://ieeexplore.ieee.org/document/9020112/
work_keys_str_mv AT yangzhou linkstateawaredynamicroutingandspectrumallocationstrategyinelasticopticalnetworks
AT qiangsun linkstateawaredynamicroutingandspectrumallocationstrategyinelasticopticalnetworks
AT siyulin linkstateawaredynamicroutingandspectrumallocationstrategyinelasticopticalnetworks
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